About The Position
Turnitin's Revenue Operations team is modernizing its analytics foundation — moving to governed dbt models on Redshift and building a trusted, consolidated view of the business for Sales, Marketing, Customer Experience, and Finance. You own the models, pipelines, and tests that everything downstream depends on. You're not a ticket-taker: we expect you to understand why a metric matters before you model it, and to say so when the requirement as stated will produce a number that's technically correct and practically wrong. This is an early-stage function, so you'll have unusual influence over how it's built.
Requirements
- A self-starter who is comfortable with ambiguity, leads with questions, and doesn't wait to be assigned work.
- A translator who can explain a data problem to a Sales Director in terms of their quota, and a quota problem to an engineer in terms of a data model.
- A systems thinker who looks upstream and downstream before proposing a fix.
- Someone constructively skeptical who reconciles the numbers before shipping them.
- Impact-focused — you deliver the "so what?", not just the data.
- An owner who takes pride in the cleanliness of their code and their documentation.
- 6 - 8+ years in Analytics Engineering, Data Engineering, or Business Intelligence with substantial hands-on modeling responsibility.
- Proven experience building and maintaining production-grade dbt projects, including testing and documentation.
- Hands-on production experience with Dagster or Airflow.
- Advanced SQL and real experience with Amazon Redshift (or Snowflake / BigQuery), including performance tuning.
- Git-based workflow, code review, and CI as a normal part of how you work.
- Strong working knowledge of the Salesforce data model.
- Python for data work and automation.
Nice To Haves
- Experience with Alteryx, particularly in a migration context.
- Experience with Airbyte, Dagster & DBT or comparable ELT tooling.
- Salesforce-specific data modeling experience.
- Exposure to predictive modeling or machine learning workflows.
- Experience with large customer engagement datasets (1M+ rows).
- Ability to build and maintain Tableau dashboards, even if it isn't your primary craft.
Responsibilities
- Lead the migration of legacy Alteryx workflows into documented, tested dbt models on Redshift.
- Design models with deliberate grain and clear lineage, building toward a certified set of marts that reporting reads from.
- Own orchestration, monitoring, and alerting in Dagster (or Airflow), and the ingestion layer feeding it.
- Keep Redshift fast and cost-effective.
- Trace issues to the right root cause — reporting, data model, or upstream business process — and route each to the right fix.
- Build the data foundations behind RevOps initiatives such as account-based marketing, customer health scoring, and predictive work like churn and lead scoring.
- Use AI and LLM tooling thoughtfully in the engineering workflow, and help the team form a view on where it belongs.
Benefits
- Remote First Culture
- Health Care Coverage
- Education Reimbursement
- Competitive Paid Time Off
- Self-Care Days
- National Holidays
- 2 Founder Days + Juneteenth Observed
- Paid Volunteer Time
- Charitable contribution match
- Monthly Wellness or Home Office Reimbursement/ Access to Modern Health (mental health platform)
- Parental Leave
- Retirement Plan with match/contribution varies by country
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
